How to Use Completeness Scoring

Audience

Admin, Product Manager, Data Entry Specialist

Prerequisites

Access to Catalog → Product Completeness

Status

General Availability

Overview

Completeness Scoring measures how fully each product is filled with required data — such as images, descriptions, attributes, and pricing.

This feature helps identify incomplete records and maintain catalog quality before publishing products to Shopify or other channels.

💡 Why Completeness Scoring Matters

Completeness Scoring ensures every product meets minimum quality standards before activation or sync. It helps:

• Maintain accurate, consistent product data
• Prevent incomplete products from going live
• Improve SEO and catalog health across all channels
• Reduce manual QA by tracking progress visually
• Enable data-driven prioritization for catalog teams

When configured properly, MerchPIM automatically calculates a real-time score for every product based on defined field rules.

⚙️ How Completeness Rules Work

Steps

1️⃣ Open Product Completeness

Navigate to Catalog → Product Completeness.

Expected: The page displays all products with completeness scores shown as percentages beside each item.

2️⃣ Review Completeness Rules

Click Manage Rules to view which fields count toward completeness.

Field groups typically include:

• Required: Title, SKU, Price
• Recommended: Description, Category, Media
• Optional: Advanced attributes, Variants

💡 Tip: Customize these rules to reflect your data quality standards.

Expected: Rule configuration saves automatically and updates scoring logic.

3️⃣ Filter by Status

Use the filter options to show products below specific thresholds (e.g., <70%, <50%).

Expected: Table refreshes to show only low-scoring products that need review.

4️⃣ Identify Missing Fields

Click a product to view a detailed breakdown of missing fields.

Each entry indicates the field name and whether it's Required or Recommended.

Expected: Incomplete fields appear highlighted in red or amber for visibility.

5️⃣ Fill Missing Data

Open the product detail page directly from the completeness report.

Complete all missing fields, then click Save.

💡 Tip: Use the “Next Incomplete” shortcut to navigate quickly between products.

Expected: Product score recalculates and displays an updated percentage.

6️⃣ Set Completeness Targets

For larger teams, define a minimum completeness target (e.g., 80%) before products can be set to Active or synced to Shopify.

Expected: Attempting to activate products below the target shows a warning prompt.

✅ Validate

After setup, confirm that completeness scores update automatically after saving fields.

Verify that filters display correct product lists by threshold.

Check that missing fields appear correctly in detailed view and that updated data increases product completeness percentage.

🔧 Troubleshooting

🌟 Best Practices

• Set realistic targets (70–90%) based on catalog maturity.
• Keep “Required” fields minimal for speed, add “Recommended” for accuracy.
• Review completeness weekly to maintain data hygiene.
• Integrate completeness into onboarding or QA workflows.

📈 Impact

📊 30–50% faster product publishing

✅ 100% data completeness for live SKUs

🔍 20% improvement in SEO and search accuracy

📸 Screenshot 11 – completeness-summary.png

Final summary view showing improved completeness after validation.

🧾 Summary

Completeness Scoring measures how fully each product is filled with required data, helping teams maintain catalog quality and prevent incomplete products from publishing to Shopify or other channels.

Updated on: 03/11/2025